Discussion summary
Discussions cover issues with a drone-related website, the history of drone autonomy technology, and the distinction between remote-controlled and autonomous drones.
What the discussion says
- blensor points out the website's sign-in issues due to a deprecated polyfill.io.
- iamflimflam1 questions if the website issue has been fixed.
- YeGoblynQueenne highlights the long history of autonomous drone development since the 1970s.
- weinzierl questions the claim that all military drones are remote-controlled.
“It uses polyfill.io which is no longer active and has been taken over by malicious actors.”
“This is a great introduction to all the technology that people have developed over the years.”
Comments
Hacker News
Crash course?
by infl8ed
Keeps asking me to sign in?
by CamperBob2
The fact that people just make this stuff and make it available to others is the most amazing thing about the internet (and the people on it).
by greenpizza13
It does not seem that the author cites the source of the control theory map. It was created by Brian Douglas [1], an engineer whose YouTube videos [2] are great for learning core topics.
Also useful is Steve Brunton's channel [3]. He has a freely available book [4] co-authored with Nathan Kutz that ties machine learning and control.
[1] https://engineeringmedia.com/ [2] https://www.youtube.com/@BrianBDouglas [3] https://www.youtube.com/@Eigensteve [4] https://news.ycombinator.com/item?id=36374528
by amemi
This is a great introduction to all the technology that people have developed over the years (since the 1970's!) to make robots autonomous, that, unfortunately, have never quite worked. As I like to point out, if we knew how to make drones (or any kind of robot) really, actually autonomous you'd see them used first of all in Ukraine, and recently in Lebanon. You don't, all the drones used in warfare are remote-controlled. Autonomy doesn't work yet. Not well enough to deploy in a theater of war.
Btw, I did really enjoy the graphic sumarising Control Theory. I'd criticise the lack of Planning and Scheduling, i.e. the PDDL-based symbolic AI stuff which is the technology that works best and is used e.g. by NASA on Perseverance, but OK, there's basically three communities that attack the same problem from different angles: Model Predictive Control, Planning & Scheduling, and RL. Two out of three is not too bad (but I don't see how RL goes under CT; never mind).
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- Hacker News
- Crash course?by infl8ed
- Keeps asking me to sign in?by CamperBob2
- The fact that people just make this stuff and make it available to others is the most amazing thing about the internet (and the people on it).by greenpizza13
- It does not seem that the author cites the source of the control theory map. It was created by Brian Douglas [1], an engineer whose YouTube videos [2] are great for learning core topics.
Also useful is Steve Brunton's channel [3]. He has a freely available book [4] co-authored with Nathan Kutz that ties machine learning and control.
[1] https://engineeringmedia.com/ [2] https://www.youtube.com/@BrianBDouglas [3] https://www.youtube.com/@Eigensteve [4] https://news.ycombinator.com/item?id=36374528
by amemi - This is a great introduction to all the technology that people have developed over the years (since the 1970's!) to make robots autonomous, that, unfortunately, have never quite worked. As I like to point out, if we knew how to make drones (or any kind of robot) really, actually autonomous you'd see them used first of all in Ukraine, and recently in Lebanon. You don't, all the drones used in warfare are remote-controlled. Autonomy doesn't work yet. Not well enough to deploy in a theater of war.
Btw, I did really enjoy the graphic sumarising Control Theory. I'd criticise the lack of Planning and Scheduling, i.e. the PDDL-based symbolic AI stuff which is the technology that works best and is used e.g. by NASA on Perseverance, but OK, there's basically three communities that attack the same problem from different angles: Model Predictive Control, Planning & Scheduling, and RL. Two out of three is not too bad (but I don't see how RL goes under CT; never mind).